David Senitzer

3.4k total citations
115 papers, 2.3k citations indexed

About

David Senitzer is a scholar working on Immunology, Hematology and Transplantation. According to data from OpenAlex, David Senitzer has authored 115 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Immunology, 38 papers in Hematology and 17 papers in Transplantation. Recurrent topics in David Senitzer's work include Immune Cell Function and Interaction (36 papers), T-cell and B-cell Immunology (30 papers) and Hematopoietic Stem Cell Transplantation (30 papers). David Senitzer is often cited by papers focused on Immune Cell Function and Interaction (36 papers), T-cell and B-cell Immunology (30 papers) and Hematopoietic Stem Cell Transplantation (30 papers). David Senitzer collaborates with scholars based in United States, Poland and France. David Senitzer's co-authors include Stephen J. Forman, Joycelynne Palmer, Robert T. Tidrick, Don J. Diamond, Jiyao Sun, Ryotaro Nakamura, Daniel Glicklich, Earl H. Freimer, Laima Gaidulis and Eileen M. Shore and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

David Senitzer

110 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Senitzer United States 28 1.1k 647 433 295 293 115 2.3k
Marc Busson France 37 2.1k 1.9× 1.1k 1.7× 494 1.1× 301 1.0× 332 1.1× 110 3.8k
John L. Wagner United States 23 803 0.7× 1.1k 1.7× 210 0.5× 447 1.5× 125 0.4× 82 2.4k
Henny G. Otten Netherlands 24 749 0.7× 250 0.4× 335 0.8× 189 0.6× 271 0.9× 118 2.1k
M Fotino United States 28 1.1k 1.0× 328 0.5× 307 0.7× 148 0.5× 535 1.8× 78 2.5k
Martin Barnardo United Kingdom 23 1.5k 1.4× 272 0.4× 515 1.2× 188 0.6× 276 0.9× 44 2.6k
Hans Grosse‐Wilde Germany 38 3.0k 2.8× 807 1.2× 597 1.4× 562 1.9× 195 0.7× 106 4.4k
Makoto Hirokawa Japan 28 983 0.9× 576 0.9× 181 0.4× 405 1.4× 330 1.1× 121 2.6k
Flore Sicre de Fontbrune France 22 861 0.8× 837 1.3× 310 0.7× 192 0.7× 77 0.3× 107 1.9k
K. I. Welsh United Kingdom 27 1.6k 1.5× 270 0.4× 442 1.0× 184 0.6× 508 1.7× 79 3.3k
M Jeannet Switzerland 25 1.3k 1.2× 916 1.4× 226 0.5× 190 0.6× 94 0.3× 131 2.3k

Countries citing papers authored by David Senitzer

Since Specialization
Citations

This map shows the geographic impact of David Senitzer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Senitzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Senitzer more than expected).

Fields of papers citing papers by David Senitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Senitzer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Senitzer. The network helps show where David Senitzer may publish in the future.

Co-authorship network of co-authors of David Senitzer

This figure shows the co-authorship network connecting the top 25 collaborators of David Senitzer. A scholar is included among the top collaborators of David Senitzer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Senitzer. David Senitzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhong, Charlie, Loren Gragert, Martin Maiers, et al.. (2019). The association between HLA and non-Hodgkin lymphoma subtypes, among a transplant-indicated population. Leukemia & lymphoma. 60(12). 2899–2908. 6 indexed citations
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Willem, Catherine, Gaëlle David, Nolwenn Legrand, et al.. (2016). New insights on the natural killer cell repertoire from a thorough analysis of cord blood cells. Journal of Leukocyte Biology. 100(3). 471–479. 8 indexed citations
5.
Willem, Catherine, Christelle Volteau, Nolwenn Legrand, et al.. (2016). Impact of Graft-Versus-Graft Natural Killer Cell Alloreactivity on Single Unit Dominance After Double Umbilical Cord Blood Transplantation. Transplantation. 101(9). 2092–2101. 4 indexed citations
6.
Nakamura, Ryotaro, Corinna La Rosa, Weimin Tsai, et al.. (2014). Ex vivo detection of CD8 T cells specific for H-Y minor histocompatibility antigens in allogeneic hematopoietic stem cell transplant recipients. Transplant Immunology. 30(4). 128–135. 3 indexed citations
7.
Khaled, Samer K., Joycelynne Palmer, Tracey Stiller, et al.. (2013). Influence of Drug Absorption, Distribution, Metabolism, and Excretion (ADME) Variants on Sirolimus Blood Levels in Patients Following Allogeneic Hematopoietic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 19(2). S330–S330. 5 indexed citations
8.
Affandi, Jacquita S., Benigno Rodríguez, Michael M. Lederman, et al.. (2011). Can immune-related genotypes illuminate the immunopathogenesis of cytomegalovirus disease in human immunodeficiency virus–infected patients?. Human Immunology. 73(2). 168–174. 7 indexed citations
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Harvey, David, J. J. Pointon, C. Sleator, et al.. (2009). Analysis of killer immunoglobulin-like receptor genes in ankylosing spondylitis. Queensland's institutional digital repository (The University of Queensland). 3 indexed citations
11.
Harvey, David, J J Pointon, C. Sleator, et al.. (2008). Analysis of killer immunoglobulin-like receptor genes in ankylosing spondylitis. Annals of the Rheumatic Diseases. 68(4). 595–598. 38 indexed citations
12.
Sala‐Torra, Olga, Michael R. Loken, Mary E.D. Flowers, et al.. (2006). Evidence of Donor-Derived Hematologic Malignancies after Hematopoietic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 12(5). 511–517. 73 indexed citations
13.
Sun, Ji, Laima Gaidulis, Marcia M. Miller, et al.. (2004). Development of a multiplex PCR‐SSP method for Killer‐cell immunoglobulin‐like receptor genotyping. Tissue Antigens. 64(4). 462–468. 60 indexed citations
14.
Krouse, Robert S., Stephen J. Forman, David Senitzer, et al.. (2002). Immunogenicity of a p210(BCR-ABL) fusion domain candidate DNA vaccine targeted to dendritic cells by a recombinant adeno-associated virus vector in vitro.. PubMed. 62(11). 3175–83. 30 indexed citations
15.
Gaidulis, Laima, P. Krausa, Bianca Schaub, & David Senitzer. (2000). Identification of a new HLA‐B*78 allele in a Hispanic family. Tissue Antigens. 56(2). 184–187. 6 indexed citations
16.
Greenstein, Stuart, et al.. (1994). Prolonged Use of Cyclosporine (CsA) Produces Reversible Hemodynamic and Absorptive Alterations in the Transplanted Rat Small Intestine. Journal of Surgical Research. 56(6). 518–523. 4 indexed citations
17.
Greenstein, Stuart, Richard Schechner, David Senitzer, et al.. (1990). EVIDENCE THAT ZERO ANTIGEN-MATCHED CYCLOSPORINE-TREATED RENAL TRANSPLANT RECIPIENTS HAVE GRAFT SURVIVAL EQUAL TO THAT OF MATCHED RECIPIENTS. Transplantation. 49(2). 332–336. 15 indexed citations
18.
Senitzer, David, Arthur J. Matas, Vivian Tellis, Frank J. Veith, & Robert Soberman. (1988). Do shared HLA antigens between present and past donors adversely affect graft survival in recipients with a past positive donor crossmatch. Transplantation Proceedings. 20. 34–36. 2 indexed citations
19.
Haskell, Lloyd, Daniel Glicklich, & David Senitzer. (1988). HLA Associations in Heroin-Associated Nephropathy. American Journal of Kidney Diseases. 12(1). 45–50. 22 indexed citations
20.
Woloschak, Gayle E. & David Senitzer. (1983). Effect of Mitogenic Stimulation of Murine Splenocytes on PEG-Induced Cell Fusion. Hybridoma. 2(3). 341–349. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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